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CREATE TABLE table_name_18 (sponsor_s_ VARCHAR, _number_of_cosponsors VARCHAR, date_introduced VARCHAR)
| Who was the sponsor for the bill introduced February 28, 2005 with cosponsors less than 200? | SELECT sponsor_s_ FROM table_name_18 WHERE _number_of_cosponsors < 200 AND date_introduced = "february 28, 2005" | SELECT "sponsor_s_" FROM "table_name_18" WHERE "_number_of_cosponsors" < 200 AND "date_introduced" = "february 28, 2005" | 0.117188 |
CREATE TABLE table_18993 ("Country/Region" TEXT, "Local title" TEXT, "Television network" TEXT, "Seasons and winners" TEXT, "Judges" TEXT, "Presenters" TEXT)
| what's the country/region with presenters being heikki paasonen jukka rossi (xtra factor) | SELECT "Country/Region" FROM table_18993 WHERE "Presenters" = 'Heikki Paasonen Jukka Rossi (Xtra Factor)' | SELECT "Country/Region" FROM "table_18993" WHERE "Presenters" = 'Heikki Paasonen Jukka Rossi (Xtra Factor)' | 0.104492 |
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
| how many prescriptions of methylprednisolone na succ had been issued this year? | SELECT COUNT(*) FROM prescriptions WHERE prescriptions.drug = 'methylprednisolone na succ' AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | SELECT COUNT(*) FROM "prescriptions" WHERE "prescriptions"."drug" = 'methylprednisolone na succ' AND DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | 0.205078 |
CREATE TABLE authors (authid DECIMAL, lname TEXT, fname TEXT)
CREATE TABLE authorship (authid DECIMAL, instid DECIMAL, paperid DECIMAL, authorder DECIMAL)
CREATE TABLE papers (paperid DECIMAL, title TEXT)
CREATE TABLE inst (instid DECIMAL, name TEXT, country TEXT)
| Count the number of authors. | SELECT COUNT(*) FROM authors | SELECT COUNT(*) FROM "authors" | 0.029297 |
CREATE TABLE table_15211468_1 (countries_visited VARCHAR, presenter VARCHAR)
| What countries are visited in the episode presented by Brian B. Thompson? | SELECT countries_visited FROM table_15211468_1 WHERE presenter = "Brian B. Thompson" | SELECT "countries_visited" FROM "table_15211468_1" WHERE "Brian B. Thompson" = "presenter" | 0.087891 |
CREATE TABLE table_15026994_5 (_number INT, viewing_figure VARCHAR)
| What is the # for the episode with viewing figures of 7.02 million ? | SELECT MAX(_number) FROM table_15026994_5 WHERE viewing_figure = "7.02 million" | SELECT MAX("_number") FROM "table_15026994_5" WHERE "7.02 million" = "viewing_figure" | 0.083008 |
CREATE TABLE table_28137918_5 (new_adherents_per_year VARCHAR, religion VARCHAR)
| Name the number of new adherents per year for confucianism | SELECT COUNT(new_adherents_per_year) FROM table_28137918_5 WHERE religion = "Confucianism" | SELECT COUNT("new_adherents_per_year") FROM "table_28137918_5" WHERE "Confucianism" = "religion" | 0.09375 |
CREATE TABLE table_79868 ("Title" TEXT, "Pages" TEXT, "Chapters" TEXT, "Audio" TEXT, "US release" TEXT)
| Which title has a US release of august 1996? | SELECT "Title" FROM table_79868 WHERE "US release" = 'august 1996' | SELECT "Title" FROM "table_79868" WHERE "US release" = 'august 1996' | 0.066406 |
CREATE TABLE table_57855 ("Country" TEXT, "Population" TEXT, "Area ( km\\u00b2 ) " TEXT, "GDP ( nominal ) " TEXT, "GDP per capita ( nominal ) " TEXT)
| Which GDP (nominal) has a Population of 5,550,239? | SELECT "GDP (nominal)" FROM table_57855 WHERE "Population" = '5,550,239' | SELECT "GDP (nominal)" FROM "table_57855" WHERE "Population" = '5,550,239' | 0.072266 |
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
| For the Core requirement , what courses are offered in Fall or Winter ? | SELECT DISTINCT course.department, course.name, course.number, semester.semester FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN program_course ON program_course.course_id = course_offering.course_id WHERE program_course.category LIKE '%Core%' AND semester.semester IN ('FA', 'WN') AND semester.year = 2016 | SELECT DISTINCT "course"."department", "course"."name", "course"."number", "semester"."semester" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "program_course" ON "course_offering"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%Core%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" IN ('FA', 'WN') AND "semester"."year" = 2016 | 0.456055 |
CREATE TABLE customers (company VARCHAR, first_name VARCHAR, last_name VARCHAR)
| Eduardo Martins is a customer at which company? | SELECT company FROM customers WHERE first_name = "Eduardo" AND last_name = "Martins" | SELECT "company" FROM "customers" WHERE "Eduardo" = "first_name" AND "Martins" = "last_name" | 0.089844 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
| how much is the maximum hospital cost with acute respiratory failure - due to atelectasis until 3 years ago? | SELECT MAX(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'acute respiratory failure - due to atelectasis')) AND DATETIME(cost.chargetime) <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "diagnosis"."patientunitstayid" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'acute respiratory failure - due to atelectasis' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE DATETIME("cost"."chargetime") <= DATETIME(CURRENT_TIME(), '-3 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."patienthealthsystemstayid") SELECT MAX("t1"."c1") FROM "t1" AS "t1" | 0.698242 |
CREATE TABLE table_42686 ("Chart" TEXT, "Single title" TEXT, "Debut position" FLOAT, "Peak position" FLOAT, "Chart run" FLOAT)
| How many chart runs had a debut position of more than 7 when peak position was 11? | SELECT COUNT("Chart run") FROM table_42686 WHERE "Debut position" > '7' AND "Peak position" = '11' | SELECT COUNT("Chart run") FROM "table_42686" WHERE "Debut position" > '7' AND "Peak position" = '11' | 0.097656 |
CREATE TABLE Rooms (RoomId TEXT, roomName TEXT, beds INT, bedType TEXT, maxOccupancy INT, basePrice INT, decor TEXT)
CREATE TABLE Reservations (Code INT, Room TEXT, CheckIn TEXT, CheckOut TEXT, Rate FLOAT, LastName TEXT, FirstName TEXT, Adults INT, Kids INT)
| Please use a pie chart to show the proportion of the minimum price of the rooms in a different decor. | SELECT decor, MIN(basePrice) FROM Rooms GROUP BY decor | SELECT "decor", MIN("basePrice") FROM "Rooms" GROUP BY "decor" | 0.060547 |
CREATE TABLE table_13258851_2 (result VARCHAR, date VARCHAR)
| What was the result of the game played on September 16, 1984? | SELECT result FROM table_13258851_2 WHERE date = "September 16, 1984" | SELECT "result" FROM "table_13258851_2" WHERE "September 16, 1984" = "date" | 0.073242 |
CREATE TABLE table_28857 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" TEXT, "Result" TEXT, "Candidates" TEXT)
| Who was the incumbent when the candidates were John banks (am) 52.2% samuel power (j) 47.8%? | SELECT "Incumbent" FROM table_28857 WHERE "Candidates" = 'John Banks (AM) 52.2% Samuel Power (J) 47.8%' | SELECT "Incumbent" FROM "table_28857" WHERE "Candidates" = 'John Banks (AM) 52.2% Samuel Power (J) 47.8%' | 0.102539 |
CREATE TABLE table_23242968_1 (directed_by VARCHAR, written_by VARCHAR)
| Who directed the episode that was written by Jonathan Fener? | SELECT directed_by FROM table_23242968_1 WHERE written_by = "Jonathan Fener" | SELECT "directed_by" FROM "table_23242968_1" WHERE "Jonathan Fener" = "written_by" | 0.080078 |
CREATE TABLE table_63491 ("Rank" FLOAT, "Peak" TEXT, "Country" TEXT, "Island" TEXT, "Elevation ( m ) " FLOAT, "Col ( m ) " FLOAT)
| What is the elevation of Vanuatu, when the rank is smaller than 3? | SELECT AVG("Elevation (m)") FROM table_63491 WHERE "Country" = 'vanuatu' AND "Rank" < '3' | SELECT AVG("Elevation (m)") FROM "table_63491" WHERE "Country" = 'vanuatu' AND "Rank" < '3' | 0.088867 |
CREATE TABLE table_train_211 ("id" INT, "systolic_blood_pressure_sbp" INT, "hiv_infection" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "diastolic_blood_pressure_dbp" INT, "body_mass_index_bmi" FLOAT, "age" FLOAT, "NOUSE" FLOAT)
| body mass index < 42 kg / sq m | SELECT * FROM table_train_211 WHERE body_mass_index_bmi < 42 | SELECT * FROM "table_train_211" WHERE "body_mass_index_bmi" < 42 | 0.0625 |
CREATE TABLE table_191105_3 (first_aired INT, performed_by VARCHAR)
| When zachary sanders is the performer what is the lowerst first aired? | SELECT MIN(first_aired) FROM table_191105_3 WHERE performed_by = "Zachary Sanders" | SELECT MIN("first_aired") FROM "table_191105_3" WHERE "Zachary Sanders" = "performed_by" | 0.085938 |
CREATE TABLE table_23981 ("Round" FLOAT, "Choice" FLOAT, "Player name" TEXT, "Position" TEXT, "Height" TEXT, "Weight" FLOAT, "College" TEXT)
| Who is the player for south carolina college? | SELECT "Player name" FROM table_23981 WHERE "College" = 'South Carolina' | SELECT "Player name" FROM "table_23981" WHERE "College" = 'South Carolina' | 0.072266 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
| For those employees who do not work in departments with managers that have ids between 100 and 200, find last_name and commission_pct , and visualize them by a bar chart, and show x axis in desc order. | SELECT LAST_NAME, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY LAST_NAME DESC | SELECT "LAST_NAME", "COMMISSION_PCT" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "LAST_NAME" DESC NULLS LAST | 0.208008 |
CREATE TABLE festival_detail (festival_id DECIMAL, festival_name TEXT, chair_name TEXT, location TEXT, year DECIMAL, num_of_audience DECIMAL)
CREATE TABLE nomination (artwork_id DECIMAL, festival_id DECIMAL, result TEXT)
CREATE TABLE artwork (artwork_id DECIMAL, type TEXT, name TEXT)
| In which year are there festivals both inside the 'United States' and outside the 'United States'? | SELECT year FROM festival_detail WHERE location = 'United States' INTERSECT SELECT year FROM festival_detail WHERE location <> 'United States' | SELECT "year" FROM "festival_detail" WHERE "location" = 'United States' INTERSECT SELECT "year" FROM "festival_detail" WHERE "location" <> 'United States' | 0.150391 |
CREATE TABLE Apartment_Buildings (building_id INT, building_short_name CHAR, building_full_name VARCHAR, building_description VARCHAR, building_address VARCHAR, building_manager VARCHAR, building_phone VARCHAR)
CREATE TABLE Apartments (apt_id INT, building_id INT, apt_type_code CHAR, apt_number CHAR, bathroom_count INT, bedroom_count INT, room_count CHAR)
CREATE TABLE Guests (guest_id INT, gender_code CHAR, guest_first_name VARCHAR, guest_last_name VARCHAR, date_of_birth DATETIME)
CREATE TABLE Apartment_Bookings (apt_booking_id INT, apt_id INT, guest_id INT, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
CREATE TABLE Apartment_Facilities (apt_id INT, facility_code CHAR)
CREATE TABLE View_Unit_Status (apt_id INT, apt_booking_id INT, status_date DATETIME, available_yn BIT)
| What is the booking start dates of the apartments with type code 'Duplex'? Bin the year into weekday interval with a bar chart. | SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.apt_type_code = "Duplex" | SELECT "booking_start_date", COUNT("booking_start_date") FROM "Apartment_Bookings" AS "T1" JOIN "Apartments" AS "T2" ON "Duplex" = "T2"."apt_type_code" AND "T1"."apt_id" = "T2"."apt_id" | 0.180664 |
CREATE TABLE table_name_6 (opponent VARCHAR, score VARCHAR, loss VARCHAR)
| What opponent has 3-2 as the score, and anderson (2-6) as a loss? | SELECT opponent FROM table_name_6 WHERE score = "3-2" AND loss = "anderson (2-6)" | SELECT "opponent" FROM "table_name_6" WHERE "3-2" = "score" AND "anderson (2-6)" = "loss" | 0.086914 |
CREATE TABLE Person (name VARCHAR, age INT, city TEXT, gender TEXT, job TEXT)
CREATE TABLE PersonFriend (name VARCHAR, friend VARCHAR, year INT)
| What is average age for different job title Visualize by bar chart, I want to display by the job from high to low. | SELECT job, AVG(age) FROM Person GROUP BY job ORDER BY job DESC | SELECT "job", AVG("age") FROM "Person" GROUP BY "job" ORDER BY "job" DESC NULLS LAST | 0.082031 |
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
| what are the fares for flights between BOSTON and WASHINGTON | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'WASHINGTON' AND CITY_1.state_code = 'DC' AND NOT fare.round_trip_cost IS NULL AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "fare"."fare_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'WASHINGTON' AND "CITY_1"."state_code" = 'DC' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND NOT "fare"."round_trip_cost" IS NULL | 0.69043 |
CREATE TABLE table_name_35 (played INT, goal_difference INT)
| Which Played has a Goal Difference larger than 24? | SELECT AVG(played) FROM table_name_35 WHERE goal_difference > 24 | SELECT AVG("played") FROM "table_name_35" WHERE "goal_difference" > 24 | 0.068359 |
CREATE TABLE table_name_73 (silver INT, total VARCHAR, bronze VARCHAR, gold VARCHAR)
| What is the lowest silver that has a bronze greater than 1, a gold less than 2, and a total less than 2? | SELECT MIN(silver) FROM table_name_73 WHERE bronze > 1 AND gold < 2 AND total < 2 | SELECT MIN("silver") FROM "table_name_73" WHERE "bronze" > 1 AND "gold" < 2 AND "total" < 2 | 0.088867 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
| For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by time, order by the y-axis in descending. | SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(DEPARTMENT_ID) DESC | SELECT "HIRE_DATE", SUM("DEPARTMENT_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY SUM("DEPARTMENT_ID") DESC NULLS LAST | 0.15625 |
CREATE TABLE table_1359 ("N\\u00b0" FLOAT, "Television service" TEXT, "Country" TEXT, "Language" TEXT, "Content" TEXT, "DAR" TEXT, "HDTV" TEXT, "PPV" TEXT, "Package/Option" TEXT)
| Does the sky calcio 6 hd have PPV? | SELECT "PPV" FROM table_1359 WHERE "Television service" = 'Sky Calcio 6 HD' | SELECT "PPV" FROM "table_1359" WHERE "Television service" = 'Sky Calcio 6 HD' | 0.075195 |
CREATE TABLE table_name_49 (pick INT, college VARCHAR, round VARCHAR)
| WHAT IS THE AVERAGE PICK FOR PURDUE, WITH A ROUND SMALLER THAN 5? | SELECT AVG(pick) FROM table_name_49 WHERE college = "purdue" AND round < 5 | SELECT AVG("pick") FROM "table_name_49" WHERE "college" = "purdue" AND "round" < 5 | 0.080078 |
CREATE TABLE table_name_6 (round VARCHAR, opponent VARCHAR)
| Name the total number of rounds for gina carano | SELECT COUNT(round) FROM table_name_6 WHERE opponent = "gina carano" | SELECT COUNT("round") FROM "table_name_6" WHERE "gina carano" = "opponent" | 0.072266 |
CREATE TABLE table_73172 ("Conventional" TEXT, "Sarikoli ( in IPA ) " TEXT, "Uyghur ( K\\u0322ona Yezik\\u0322 ) " TEXT, "Uyghur ( Yen\\u0261i Yezik\\u0322 ) " TEXT, "Chinese" TEXT, "Pinyin" TEXT)
| Name the conventional for | SELECT "Conventional" FROM table_73172 WHERE "Uyghur ( K\u0322ona Yezik\u0322 )" = 'تاغارما' | SELECT "Conventional" FROM "table_73172" WHERE "Uyghur ( K\u0322ona Yezik\u0322 )" = 'تاغارما' | 0.091797 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many patients whose lab test abnormal status is delta and lab test name is phosphate, urine? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.flag = "delta" AND lab.label = "Phosphate, Urine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Phosphate, Urine" = "lab"."label" AND "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.185547 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| how many married patients had the drug route dwell? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.marital_status = "MARRIED" AND prescriptions.route = "DWELL" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "DWELL" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "MARRIED" = "demographic"."marital_status" | 0.225586 |
CREATE TABLE table_67522 ("Driver" TEXT, "Constructor" TEXT, "Laps" TEXT, "Time/Retired" TEXT, "Grid" TEXT)
| Who was the driver when there were 35 laps? | SELECT "Driver" FROM table_67522 WHERE "Laps" = '35' | SELECT "Driver" FROM "table_67522" WHERE "Laps" = '35' | 0.052734 |
CREATE TABLE table_53155 ("Year" FLOAT, "Winners" TEXT, "Grand Finalist" TEXT, "Scores" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Margin" FLOAT, "Season Result" TEXT)
| What's the highest year than hawthorn won with a season result of preliminary finalist and a crowd smaller than 27,407? | SELECT MAX("Year") FROM table_53155 WHERE "Winners" = 'hawthorn' AND "Season Result" = 'preliminary finalist' AND "Crowd" < '27,407' | SELECT MAX("Year") FROM "table_53155" WHERE "Crowd" < '27,407' AND "Season Result" = 'preliminary finalist' AND "Winners" = 'hawthorn' | 0.130859 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| what is lab test abnormal status of subject id 6983? | SELECT lab.flag FROM lab WHERE lab.subject_id = "6983" | SELECT "lab"."flag" FROM "lab" WHERE "6983" = "lab"."subject_id" | 0.0625 |
CREATE TABLE table_name_41 (laps VARCHAR, driver VARCHAR)
| How many laps did Jackie Oliver do? | SELECT laps FROM table_name_41 WHERE driver = "jackie oliver" | SELECT "laps" FROM "table_name_41" WHERE "driver" = "jackie oliver" | 0.06543 |
CREATE TABLE table_42394 ("Year ( Ceremony ) " TEXT, "Film title used in nomination" TEXT, "Original title" TEXT, "Director" TEXT, "Result" TEXT)
| What is the Director of Children of Sarajevo? | SELECT "Director" FROM table_42394 WHERE "Film title used in nomination" = 'children of sarajevo' | SELECT "Director" FROM "table_42394" WHERE "Film title used in nomination" = 'children of sarajevo' | 0.09668 |
CREATE TABLE table_name_9 (score VARCHAR, opponent VARCHAR)
| What is Score, when Opponent is '@ New York Knicks'? | SELECT score FROM table_name_9 WHERE opponent = "@ new york knicks" | SELECT "score" FROM "table_name_9" WHERE "@ new york knicks" = "opponent" | 0.071289 |
CREATE TABLE table_23179 ("Institution" TEXT, "Location" TEXT, "Nickname" TEXT, "Founded" FLOAT, "Type" TEXT, "Enrollment" FLOAT, "Joined" FLOAT)
| What's the highest enrollment among the schools? | SELECT MAX("Enrollment") FROM table_23179 | SELECT MAX("Enrollment") FROM "table_23179" | 0.041992 |
CREATE TABLE table_name_90 (discs VARCHAR, region_1_release VARCHAR)
| What discs has a region 1 release date of January 22, 2008? | SELECT discs FROM table_name_90 WHERE region_1_release = "january 22, 2008" | SELECT "discs" FROM "table_name_90" WHERE "january 22, 2008" = "region_1_release" | 0.079102 |
CREATE TABLE table_36403 ("Round" FLOAT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "College/Junior/Club Team" TEXT)
| What is the total number of rounds that Joe Barnes was picked? | SELECT COUNT("Round") FROM table_36403 WHERE "Player" = 'joe barnes' | SELECT COUNT("Round") FROM "table_36403" WHERE "Player" = 'joe barnes' | 0.068359 |
CREATE TABLE table_27450976_1 (title VARCHAR, written_by VARCHAR)
| What is the name of the episode that was written by Scott M. Gimple? | SELECT title FROM table_27450976_1 WHERE written_by = "Scott M. Gimple" | SELECT "title" FROM "table_27450976_1" WHERE "Scott M. Gimple" = "written_by" | 0.075195 |
CREATE TABLE staff (staff_name VARCHAR, staff_id VARCHAR)
CREATE TABLE staff_department_assignments (staff_id VARCHAR)
| List the name of staff who has been assigned multiple jobs. | SELECT T1.staff_name FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id GROUP BY T2.staff_id HAVING COUNT(*) > 1 | SELECT "T1"."staff_name" FROM "staff" AS "T1" JOIN "staff_department_assignments" AS "T2" ON "T1"."staff_id" = "T2"."staff_id" GROUP BY "T2"."staff_id" HAVING COUNT(*) > 1 | 0.166992 |
CREATE TABLE trip (bike_id VARCHAR, zip_code VARCHAR)
| Which bike traveled the most often in zip code 94002? | SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "bike_id" FROM "trip" WHERE "zip_code" = 94002 GROUP BY "bike_id" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1 | 0.111328 |
CREATE TABLE table_2109 ("Rnd." FLOAT, "Circuit" TEXT, "LMP1 Winning Team" TEXT, "LMP2 Winning Team" TEXT, "GT1 Winning Team" TEXT, "GT2 Winning Team" TEXT, "Results" TEXT)
| When no.55 ipb spartak racing is the g1 winning team what are the results? | SELECT "Results" FROM table_2109 WHERE "GT1 Winning Team" = 'No.55 IPB Spartak Racing' | SELECT "Results" FROM "table_2109" WHERE "GT1 Winning Team" = 'No.55 IPB Spartak Racing' | 0.085938 |
CREATE TABLE table_name_28 (champion VARCHAR, engine VARCHAR, season VARCHAR)
| Who was the champion that drove the car with the Ford engine in 1971? | SELECT champion FROM table_name_28 WHERE engine = "ford" AND season = "1971" | SELECT "champion" FROM "table_name_28" WHERE "1971" = "season" AND "engine" = "ford" | 0.082031 |
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
| show me the nonstop flights from HOUSTON to DALLAS | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'HOUSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.stops = 0 | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'HOUSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."stops" = 0 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' | 0.517578 |
CREATE TABLE table_22295 ("No. overall" FLOAT, "No. in series" FLOAT, "Title" TEXT, "Director" TEXT, "Writer" TEXT, "Original air date" TEXT, "Production code" FLOAT)
| Name the number in series for number 38 | SELECT MIN("No. in series") FROM table_22295 WHERE "No. overall" = '38' | SELECT MIN("No. in series") FROM "table_22295" WHERE "No. overall" = '38' | 0.071289 |
CREATE TABLE table_name_55 (nominated_work VARCHAR, award VARCHAR, type VARCHAR, position VARCHAR)
| What work was nominated at Rockferendum 2007 and got 1st place and got the award for best album? | SELECT nominated_work FROM table_name_55 WHERE type = "rockferendum 2007" AND position = "1st place" AND award = "best album" | SELECT "nominated_work" FROM "table_name_55" WHERE "1st place" = "position" AND "award" = "best album" AND "rockferendum 2007" = "type" | 0.131836 |
CREATE TABLE table_name_10 (replaced_by VARCHAR, team VARCHAR)
| who is the replacement when the team is milton keynes dons? | SELECT replaced_by FROM table_name_10 WHERE team = "milton keynes dons" | SELECT "replaced_by" FROM "table_name_10" WHERE "milton keynes dons" = "team" | 0.075195 |
CREATE TABLE Has_amenity (dormid INT, amenid INT)
CREATE TABLE Dorm (dormid INT, dorm_name VARCHAR, student_capacity INT, gender VARCHAR)
CREATE TABLE Dorm_amenity (amenid INT, amenity_name VARCHAR)
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Lives_in (stuid INT, dormid INT, room_number INT)
| what is the average age for each dorm and what are the names of each dorm? | SELECT dorm_name, AVG(T1.Age) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid GROUP BY T3.dorm_name | SELECT "dorm_name", AVG("T1"."Age") FROM "Student" AS "T1" JOIN "Lives_in" AS "T2" ON "T1"."stuid" = "T2"."stuid" JOIN "Dorm" AS "T3" ON "T2"."dormid" = "T3"."dormid" GROUP BY "T3"."dorm_name" | 0.1875 |
CREATE TABLE table_6143 ("Call sign" TEXT, "Frequency" TEXT, "City of license" TEXT, "Watts" FLOAT, "Class" TEXT)
| How many Watts has a Class of a, and a Frequency of 91.5 fm, and a City of license of elkhart, kansas? | SELECT MIN("Watts") FROM table_6143 WHERE "Class" = 'a' AND "Frequency" = '91.5 fm' AND "City of license" = 'elkhart, kansas' | SELECT MIN("Watts") FROM "table_6143" WHERE "City of license" = 'elkhart, kansas' AND "Class" = 'a' AND "Frequency" = '91.5 fm' | 0.124023 |
CREATE TABLE table_74489 ("Conference" TEXT, "# of Bids" FLOAT, "Record" TEXT, "Win %" FLOAT, "Regional Finals" FLOAT)
| For the Hockey East conference, what is the total number of win percentages when there are less than 4 bids? | SELECT COUNT("Win %") FROM table_74489 WHERE "Conference" = 'hockey east' AND "# of Bids" < '4' | SELECT COUNT("Win %") FROM "table_74489" WHERE "# of Bids" < '4' AND "Conference" = 'hockey east' | 0.094727 |
CREATE TABLE table_12141496_1 (perigee__km_ INT, decay_date VARCHAR)
| What was the maximum perigee on 1969-01-09? | SELECT MAX(perigee__km_) FROM table_12141496_1 WHERE decay_date = "1969-01-09" | SELECT MAX("perigee__km_") FROM "table_12141496_1" WHERE "1969-01-09" = "decay_date" | 0.082031 |
CREATE TABLE table_40024 ("Date" TEXT, "Score" TEXT, "Set 1" TEXT, "Set 2" TEXT, "Set 3" TEXT, "Set 4" TEXT, "Set 5" TEXT, "Total" TEXT)
| What is the set 1 with a 28-30 set 4? | SELECT "Set 1" FROM table_40024 WHERE "Set 4" = '28-30' | SELECT "Set 1" FROM "table_40024" WHERE "Set 4" = '28-30' | 0.055664 |
CREATE TABLE table_name_34 (year INT, champion VARCHAR)
| what year has the highest marcel granollers champions? | SELECT MAX(year) FROM table_name_34 WHERE champion = "marcel granollers" | SELECT MAX("year") FROM "table_name_34" WHERE "champion" = "marcel granollers" | 0.076172 |
CREATE TABLE table_4675 ("Date" TEXT, "Venue" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
| Which venue had a match played on August 16, 2006? | SELECT "Venue" FROM table_4675 WHERE "Date" = 'august 16, 2006' | SELECT "Venue" FROM "table_4675" WHERE "Date" = 'august 16, 2006' | 0.063477 |
CREATE TABLE enzyme (id VARCHAR, name VARCHAR)
CREATE TABLE medicine_enzyme_interaction (enzyme_id VARCHAR, interaction_type VARCHAR)
| What is the id and name of the enzyme with most number of medicines that can interact as 'activator'? | SELECT T1.id, T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "T1"."id", "T1"."name" FROM "enzyme" AS "T1" JOIN "medicine_enzyme_interaction" AS "T2" ON "T1"."id" = "T2"."enzyme_id" AND "T2"."interaction_type" = 'activitor' GROUP BY "T1"."id" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1 | 0.223633 |
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, visualize a scatter chart about the correlation between salary and commission_pct . | SELECT SALARY, COMMISSION_PCT FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 | SELECT "SALARY", "COMMISSION_PCT" FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) | 0.202148 |
CREATE TABLE table_name_17 (title VARCHAR, lyricist_s_ VARCHAR, arranger_s_ VARCHAR)
| What is the title of the track with lyricist ROZ and arranger Yongmin Lee? | SELECT title FROM table_name_17 WHERE lyricist_s_ = "roz" AND arranger_s_ = "yongmin lee" | SELECT "title" FROM "table_name_17" WHERE "arranger_s_" = "yongmin lee" AND "lyricist_s_" = "roz" | 0.094727 |
CREATE TABLE table_2572 ("Sigma level" FLOAT, "Sigma ( with 1.5\\u03c3 shift ) " TEXT, "DPMO" TEXT, "Percent defective" TEXT, "Percentage yield" TEXT, "Short-term C pk" TEXT, "Long-term C pk" TEXT)
| How many percentage yield figures are there when 6.7% are defective? | SELECT COUNT("Percentage yield") FROM table_2572 WHERE "Percent defective" = '6.7%' | SELECT COUNT("Percentage yield") FROM "table_2572" WHERE "Percent defective" = '6.7%' | 0.083008 |
CREATE TABLE table_72894 ("Series #" FLOAT, "Season #" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT)
| Name who wrote the episode directed by arthur albert | SELECT "Written by" FROM table_72894 WHERE "Directed by" = 'Arthur Albert' | SELECT "Written by" FROM "table_72894" WHERE "Directed by" = 'Arthur Albert' | 0.074219 |
CREATE TABLE table_name_9 (year VARCHAR, score VARCHAR)
| How many years had a score of 734-5d? | SELECT COUNT(year) FROM table_name_9 WHERE score = "734-5d" | SELECT COUNT("year") FROM "table_name_9" WHERE "734-5d" = "score" | 0.063477 |
CREATE TABLE table_12586 ("Outcome" TEXT, "Date" TEXT, "Category" TEXT, "Tournament" TEXT, "Surface" TEXT, "Opponent" TEXT, "Score" TEXT)
| What is the Category of the Rodez, France Tournament? | SELECT "Category" FROM table_12586 WHERE "Tournament" = 'rodez, france' | SELECT "Category" FROM "table_12586" WHERE "Tournament" = 'rodez, france' | 0.071289 |
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
| A scatter chart shows the correlation between Team_ID and All_Games_Percent , and group by attribute ACC_Home. | SELECT Team_ID, All_Games_Percent FROM basketball_match GROUP BY ACC_Home | SELECT "Team_ID", "All_Games_Percent" FROM "basketball_match" GROUP BY "ACC_Home" | 0.079102 |
CREATE TABLE table_25818630_1 (affiliation VARCHAR, candidate VARCHAR)
| What is every affiliation for candidate Daren Ireland? | SELECT affiliation FROM table_25818630_1 WHERE candidate = "Daren Ireland" | SELECT "affiliation" FROM "table_25818630_1" WHERE "Daren Ireland" = "candidate" | 0.078125 |
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Allergy_Type (Allergy VARCHAR, AllergyType VARCHAR)
CREATE TABLE Has_Allergy (StuID INT, Allergy VARCHAR)
| Show all cities and corresponding number of students Plot them as bar chart, and sort x-axis from low to high order. | SELECT city_code, COUNT(*) FROM Student GROUP BY city_code ORDER BY city_code | SELECT "city_code", COUNT(*) FROM "Student" GROUP BY "city_code" ORDER BY "city_code" NULLS FIRST | 0.094727 |
CREATE TABLE table_4823 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What is the away team's score when south melbourne is the away team? | SELECT "Away team score" FROM table_4823 WHERE "Away team" = 'south melbourne' | SELECT "Away team score" FROM "table_4823" WHERE "Away team" = 'south melbourne' | 0.078125 |
CREATE TABLE table_701 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "Elected" FLOAT, "Status" TEXT, "Opponent" TEXT)
| What district had elections in 1964? | SELECT "District" FROM table_701 WHERE "Elected" = '1964' | SELECT "District" FROM "table_701" WHERE "Elected" = '1964' | 0.057617 |
CREATE TABLE table_12992 ("Nat." TEXT, "Name" TEXT, "Moving from" TEXT, "Type" TEXT, "Transfer window" TEXT, "Ends" TEXT)
| What is the moving from with a transfer and the nationality of Bra? | SELECT "Moving from" FROM table_12992 WHERE "Type" = 'transfer' AND "Nat." = 'bra' | SELECT "Moving from" FROM "table_12992" WHERE "Nat." = 'bra' AND "Type" = 'transfer' | 0.082031 |
CREATE TABLE table_name_35 (bodyweight INT, snatch INT)
| Which weightlifter with a snatch larger than 117.5 had the lowest bodyweight? | SELECT MIN(bodyweight) FROM table_name_35 WHERE snatch > 117.5 | SELECT MIN("bodyweight") FROM "table_name_35" WHERE "snatch" > 117.5 | 0.066406 |
CREATE TABLE table_61521 ("Place" FLOAT, "Team" TEXT, "Played" FLOAT, "Draw" FLOAT, "Lost" FLOAT, "Goals Scored" FLOAT, "Goals Conceded" FLOAT, "Points" TEXT)
| What is the average goals scored when less than 34 were played and there were more than 2 draws? | SELECT AVG("Goals Scored") FROM table_61521 WHERE "Played" < '34' AND "Draw" > '2' | SELECT AVG("Goals Scored") FROM "table_61521" WHERE "Draw" > '2' AND "Played" < '34' | 0.082031 |
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
| what was the last output on 12/27/2105 for patient 033-3992? | SELECT intakeoutput.celllabel FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '033-3992')) AND intakeoutput.cellpath LIKE '%output%' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) = '2105-12-27' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '033-3992' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "intakeoutput"."celllabel" FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "intakeoutput"."intakeoutputtime") = '2105-12-27' ORDER BY "intakeoutput"."intakeoutputtime" DESC NULLS LAST LIMIT 1 | 0.686523 |
CREATE TABLE table_76225 ("Alianza wins" FLOAT, "Draws" FLOAT, "U wins" FLOAT, "Alianza goals" FLOAT, "U goals" FLOAT)
| What is the lowest U Wins, when Alianza Wins is greater than 0, when Alianza Goals is greater than 25, and when Draws is '99'? | SELECT MIN("U wins") FROM table_76225 WHERE "Alianza wins" > '0' AND "Alianza goals" > '25' AND "Draws" = '99' | SELECT MIN("U wins") FROM "table_76225" WHERE "Alianza goals" > '25' AND "Alianza wins" > '0' AND "Draws" = '99' | 0.109375 |
CREATE TABLE train (id INT, train_number INT, name TEXT, origin TEXT, destination TEXT, time TEXT, interval TEXT)
CREATE TABLE route (train_id INT, station_id INT)
CREATE TABLE station (id INT, network_name TEXT, services TEXT, local_authority TEXT)
CREATE TABLE weekly_weather (station_id INT, day_of_week TEXT, high_temperature INT, low_temperature INT, precipitation FLOAT, wind_speed_mph INT)
| Plot how many name by grouped by name as a bar graph, display by the total number from low to high. | SELECT name, COUNT(name) FROM train GROUP BY name ORDER BY COUNT(name) | SELECT "name", COUNT("name") FROM "train" GROUP BY "name" ORDER BY COUNT("name") NULLS FIRST | 0.089844 |
CREATE TABLE table_14237 ("School" TEXT, "Mascot" TEXT, "Location" TEXT, "Size" FLOAT, "IHSAA Class" TEXT, "County" TEXT)
| What school has a size less than 674, has a county of 19 dubois, and has the rangers as their mascot? | SELECT "School" FROM table_14237 WHERE "Size" < '674' AND "County" = '19 dubois' AND "Mascot" = 'rangers' | SELECT "School" FROM "table_14237" WHERE "County" = '19 dubois' AND "Mascot" = 'rangers' AND "Size" < '674' | 0.104492 |
CREATE TABLE table_name_44 (fis_nordic_world_ski_championships VARCHAR, winter_olympics VARCHAR)
| Which FIS Nordic World Ski Championships has Winter Olympics of 1960? | SELECT fis_nordic_world_ski_championships FROM table_name_44 WHERE winter_olympics = "1960" | SELECT "fis_nordic_world_ski_championships" FROM "table_name_44" WHERE "1960" = "winter_olympics" | 0.094727 |
CREATE TABLE table_49764 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Attendance" TEXT)
| What is the score of the game with 39,592 attendance? | SELECT "Score" FROM table_49764 WHERE "Attendance" = '39,592' | SELECT "Score" FROM "table_49764" WHERE "Attendance" = '39,592' | 0.061523 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| For those records from the products and each product's manufacturer, draw a bar chart about the distribution of headquarter and the sum of code , and group by attribute headquarter, I want to order by the bar in descending. | SELECT T2.Headquarter, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Headquarter ORDER BY T2.Headquarter DESC | SELECT "T2"."Headquarter", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Headquarter" ORDER BY "T2"."Headquarter" DESC NULLS LAST | 0.195313 |
CREATE TABLE table_76855 ("Player" TEXT, "Nationality" TEXT, "Jersey Number ( s ) " FLOAT, "Position" TEXT, "Years" TEXT, "From" TEXT)
| What years did the united states player with a jersey number 25 who attended delaware state play? | SELECT "Years" FROM table_76855 WHERE "Nationality" = 'united states' AND "Jersey Number(s)" < '25' AND "From" = 'delaware state' | SELECT "Years" FROM "table_76855" WHERE "From" = 'delaware state' AND "Jersey Number(s)" < '25' AND "Nationality" = 'united states' | 0.12793 |
CREATE TABLE Products (product_id INT, product_name VARCHAR, product_details VARCHAR)
CREATE TABLE Shipments (shipment_id INT, order_id INT, invoice_number INT, shipment_tracking_number VARCHAR, shipment_date DATETIME, other_shipment_details VARCHAR)
CREATE TABLE Invoices (invoice_number INT, invoice_date DATETIME, invoice_details VARCHAR)
CREATE TABLE Shipment_Items (shipment_id INT, order_item_id INT)
CREATE TABLE Customers (customer_id INT, customer_name VARCHAR, customer_details VARCHAR)
CREATE TABLE Orders (order_id INT, customer_id INT, order_status VARCHAR, date_order_placed DATETIME, order_details VARCHAR)
CREATE TABLE Order_Items (order_item_id INT, product_id INT, order_id INT, order_item_status VARCHAR, order_item_details VARCHAR)
| For each product, show the frequency of the name with a bar chart. | SELECT product_name, COUNT(product_name) FROM Orders AS T1 JOIN Order_Items AS T2 JOIN Products AS T3 ON T1.order_id = T2.order_id AND T2.product_id = T3.product_id GROUP BY product_name | SELECT "product_name", COUNT("product_name") FROM "Orders" AS "T1" CROSS JOIN "Products" AS "T3" JOIN "Order_Items" AS "T2" ON "T1"."order_id" = "T2"."order_id" AND "T2"."product_id" = "T3"."product_id" GROUP BY "product_name" | 0.220703 |
CREATE TABLE table_26436_2 (role VARCHAR)
| Who was in the 2005 film with the role mark cohen? | SELECT 2005 AS _film FROM table_26436_2 WHERE role = "Mark Cohen" | SELECT 2005 AS "_film" FROM "table_26436_2" WHERE "Mark Cohen" = "role" | 0.069336 |
CREATE TABLE table_name_30 (seats_2001 INT, _percentage_2001 VARCHAR, _percentage_2006 VARCHAR)
| When the %2001 is more than 61.4, and the %2006 fewer than 54.1, how many Seats in 2001 were there? | SELECT SUM(seats_2001) FROM table_name_30 WHERE _percentage_2001 > 61.4 AND _percentage_2006 < 54.1 | SELECT SUM("seats_2001") FROM "table_name_30" WHERE "_percentage_2001" > 61.4 AND "_percentage_2006" < 54.1 | 0.104492 |
CREATE TABLE table_203_171 (id DECIMAL, "place\ ( posicion ) " DECIMAL, "team\ ( equipo ) " TEXT, "played\ ( pj ) " DECIMAL, "won\ ( pg ) " DECIMAL, "draw\ ( pe ) " DECIMAL, "lost\ ( pp ) " DECIMAL, "goals scored\ ( gf ) " DECIMAL, "goals conceded\ ( gc ) " DECIMAL, "+/-\ ( dif. ) " DECIMAL, "points\ ( pts. ) " DECIMAL)
| who is the top team ? | SELECT "team\n(equipo)" FROM table_203_171 WHERE "place\n(posicion)" = 1 | SELECT "team\n(equipo)" FROM "table_203_171" WHERE "place\n(posicion)" = 1 | 0.072266 |
CREATE TABLE table_174491_2 (holmenkollen VARCHAR, fis_nordic_world_ski_championships VARCHAR)
| What is the holmenkollen for the 1982 FIS Nordic World Ski Championships? | SELECT holmenkollen FROM table_174491_2 WHERE fis_nordic_world_ski_championships = "1982" | SELECT "holmenkollen" FROM "table_174491_2" WHERE "1982" = "fis_nordic_world_ski_championships" | 0.092773 |
CREATE TABLE subjects (subject_id DECIMAL, subject_name TEXT)
CREATE TABLE course_authors_and_tutors (author_id DECIMAL, author_tutor_atb TEXT, login_name TEXT, password TEXT, personal_name TEXT, middle_name TEXT, family_name TEXT, gender_mf TEXT, address_line_1 TEXT)
CREATE TABLE student_course_enrolment (registration_id DECIMAL, student_id DECIMAL, course_id DECIMAL, date_of_enrolment TIME, date_of_completion TIME)
CREATE TABLE students (student_id DECIMAL, date_of_registration TIME, date_of_latest_logon TIME, login_name TEXT, password TEXT, personal_name TEXT, middle_name TEXT, family_name TEXT)
CREATE TABLE student_tests_taken (registration_id DECIMAL, date_test_taken TIME, test_result TEXT)
CREATE TABLE courses (course_id DECIMAL, author_id DECIMAL, subject_id DECIMAL, course_name TEXT, course_description TEXT)
| Find the dates of the tests taken with result 'Pass'. | SELECT date_test_taken FROM student_tests_taken WHERE test_result = "Pass" | SELECT "date_test_taken" FROM "student_tests_taken" WHERE "Pass" = "test_result" | 0.078125 |
CREATE TABLE table_name_89 (opponent VARCHAR, score VARCHAR)
| Which opponent has a Score of 15.4.94? | SELECT opponent FROM table_name_89 WHERE score = "15.4.94" | SELECT "opponent" FROM "table_name_89" WHERE "15.4.94" = "score" | 0.0625 |
CREATE TABLE table_name_21 (Box VARCHAR, home_team VARCHAR)
| What was the box core for the Melbourne Tigers? | SELECT Box AS score FROM table_name_21 WHERE home_team = "melbourne tigers" | SELECT "Box" AS "score" FROM "table_name_21" WHERE "home_team" = "melbourne tigers" | 0.081055 |
CREATE TABLE class (class_code TEXT, crs_code TEXT, class_section TEXT, class_time TEXT, class_room TEXT, prof_num DECIMAL)
CREATE TABLE professor (emp_num DECIMAL, dept_code TEXT, prof_office TEXT, prof_extension TEXT, prof_high_degree TEXT)
CREATE TABLE employee (emp_num DECIMAL, emp_lname TEXT, emp_fname TEXT, emp_initial TEXT, emp_jobcode TEXT, emp_hiredate TIME, emp_dob TIME)
CREATE TABLE department (dept_code TEXT, dept_name TEXT, school_code TEXT, emp_num DECIMAL, dept_address TEXT, dept_extension TEXT)
CREATE TABLE student (stu_num DECIMAL, stu_lname TEXT, stu_fname TEXT, stu_init TEXT, stu_dob TIME, stu_hrs DECIMAL, stu_class TEXT, stu_gpa DECIMAL, stu_transfer DECIMAL, dept_code TEXT, stu_phone TEXT, prof_num DECIMAL)
CREATE TABLE enroll (class_code TEXT, stu_num DECIMAL, enroll_grade TEXT)
CREATE TABLE course (crs_code TEXT, dept_code TEXT, crs_description TEXT, crs_credit DECIMAL)
| Find the number of classes in each school. | SELECT COUNT(*), T3.school_code FROM class AS T1 JOIN course AS T2 ON T1.crs_code = T2.crs_code JOIN department AS T3 ON T2.dept_code = T3.dept_code GROUP BY T3.school_code | SELECT COUNT(*), "T3"."school_code" FROM "class" AS "T1" JOIN "course" AS "T2" ON "T1"."crs_code" = "T2"."crs_code" JOIN "department" AS "T3" ON "T2"."dept_code" = "T3"."dept_code" GROUP BY "T3"."school_code" | 0.203125 |
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
| Stack bar chart of school_id vs All_Home based on acc road, rank Y from high to low order. | SELECT ACC_Road, School_ID FROM basketball_match GROUP BY All_Home, ACC_Road ORDER BY School_ID DESC | SELECT "ACC_Road", "School_ID" FROM "basketball_match" GROUP BY "All_Home", "ACC_Road" ORDER BY "School_ID" DESC NULLS LAST | 0.120117 |
CREATE TABLE player (player_id DECIMAL, name TEXT, position TEXT, club_id DECIMAL, apps DECIMAL, tries DECIMAL, goals TEXT, points DECIMAL)
CREATE TABLE competition_result (competition_id DECIMAL, club_id_1 DECIMAL, club_id_2 DECIMAL, score TEXT)
CREATE TABLE club_rank (rank DECIMAL, club_id DECIMAL, gold DECIMAL, silver DECIMAL, bronze DECIMAL, total DECIMAL)
CREATE TABLE competition (competition_id DECIMAL, year DECIMAL, competition_type TEXT, country TEXT)
CREATE TABLE club (club_id DECIMAL, name TEXT, region TEXT, start_year TEXT)
| how many different positions are there? | SELECT COUNT(DISTINCT position) FROM player | SELECT COUNT(DISTINCT "position") FROM "player" | 0.045898 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| what has been the total output that patient 3369 has had until 06/16/2105? | SELECT SUM(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 3369)) AND STRFTIME('%y-%m-%d', outputevents.charttime) <= '2105-06-16' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 3369 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id") SELECT SUM("outputevents"."value") FROM "outputevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "outputevents"."charttime") <= '2105-06-16' | 0.504883 |
CREATE TABLE table_name_23 (status VARCHAR, index VARCHAR)
| For the event with index f7, what is the status? | SELECT status FROM table_name_23 WHERE index = "f7" | SELECT "status" FROM "table_name_23" WHERE "f7" = "index" | 0.055664 |
CREATE TABLE table_1473672_8 (player VARCHAR, nhl_team VARCHAR)
| Name the player for chicago black hawks | SELECT player FROM table_1473672_8 WHERE nhl_team = "Chicago Black Hawks" | SELECT "player" FROM "table_1473672_8" WHERE "Chicago Black Hawks" = "nhl_team" | 0.077148 |
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR, Document_Type_Description VARCHAR)
CREATE TABLE Accounts (Account_ID INT, Statement_ID INT, Account_Details VARCHAR)
CREATE TABLE Documents_with_Expenses (Document_ID INT, Budget_Type_Code CHAR, Document_Details VARCHAR)
CREATE TABLE Statements (Statement_ID INT, Statement_Details VARCHAR)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR)
CREATE TABLE Projects (Project_ID INT, Project_Details VARCHAR)
CREATE TABLE Documents (Document_ID INT, Document_Type_Code CHAR, Project_ID INT, Document_Date DATETIME, Document_Name VARCHAR, Document_Description VARCHAR, Other_Details VARCHAR)
| Show the average of account details for different statement details in a bar chart. | SELECT Statement_Details, AVG(Account_Details) FROM Accounts AS T1 JOIN Statements AS T2 ON T1.Statement_ID = T2.Statement_ID GROUP BY Statement_Details | SELECT "Statement_Details", AVG("Account_Details") FROM "Accounts" AS "T1" JOIN "Statements" AS "T2" ON "T1"."Statement_ID" = "T2"."Statement_ID" GROUP BY "Statement_Details" | 0.169922 |
CREATE TABLE table_name_40 (average_population__x_1000_ INT, deaths VARCHAR, crude_death_rate__per_1000_ VARCHAR)
| What is the average population when deaths are 3 557 and crude death date is less than 11.9? | SELECT AVG(average_population__x_1000_) FROM table_name_40 WHERE deaths = "3 557" AND crude_death_rate__per_1000_ < 11.9 | SELECT AVG("average_population__x_1000_") FROM "table_name_40" WHERE "3 557" = "deaths" AND "crude_death_rate__per_1000_" < 11.9 | 0.125 |
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